Introduction of OLR 2019
As an international event, the Oriental Language Recognition (OLR) Challenge series organized by Speechocean and Tsinghua University aims at boosting language recognition technology for oriental languages. Following the success of challenges held in last three years, OLR 2019 follows the same theme but will be more challenging and more interesting.
141 hours of speech recognition corpus covering 16 languages are totally free for each participant. Come and join this challenge right now!
|Mandarin / Cantonese / Japanese / Korean / Indonesian / Vietnamese / Russian||89|
Training Set (71 Hours)Test Set (18 Hours)
|Catalan / Greek / Telugu||9||Test Set|
|Sichuanese / Shanghainese / Hokkien||3||Development Set|
|Kazak / Tibetan / Uyghur||35||Training Set|
Languages for Cross-channel:Mandarin / Japanese / Vietnamese / Russian / Tibetan / Uyghur
Task 1: Short-utterance LID, where the test utterances are as short as 1 second.
Task 2: Cross-channel LID, where test data is in different channels from the training set.
Task 3: Zero-resource LID, where no resources are provided for training before inference, but several reference utterances are provided for each language.
|July 16th||Registration opened; training and development data released|
|October 1st||Registration close|
|October 20th||Test data release|
|November 1st||Test result submission deadline|
|November 18th||Results announcement|
Northwestern Polytechnical University
Please send email to the email@example.com with the following information:
-- Team name
-- Duty person
-- Homepage of person / organization / company (If homepage is not available, any of your online papers in speech field are feasible.